
Software Engineering Lead - Sales force Development
- Bangalore, Karnataka
- Permanent
- Full-time
- Lead the design and development of AI/ML models to extract structured data from unstructured contract documents using NLP and OCR techniques
- Architect scalable AI solutions and oversee their integration into the Salesforce-based ContractHub platform
- Collaborate with cross-functional teams including Salesforce developers, legal, compliance, and business stakeholders to align technical solutions with business goals
- Develop and maintain robust APIs and automation pipelines for document ingestion, processing, and data delivery
- Ensure high standards of data accuracy, model performance, and compliance with legal and privacy regulations
- Guide the selection and implementation of cloud infrastructure (AWS, Azure, or GCP) for model training and deployment
- Conduct code reviews, mentor junior engineers, and promote best practices in AI/ML development and MLOps
- Monitor production systems, troubleshoot issues, and continuously optimize model performance and system reliability
- Document technical architecture, workflows, and processes to support maintainability and knowledge sharing
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
- Bring a blend of AI/ML expertise and Salesforce platform experience to successfully deliver this project. Key qualifications include:
- 5+ years of experience in salesforce software development with a focus on AI/ML and enterprise applications
- Experience with OCR and document intelligence tools (eg., Tesseract, Amazon Textract, Google Vision API)
- Hands-on experience deploying AI models on cloud platforms (AWS, Azure, or GCP)
- Solid proficiency in Natural Language Processing (NLP), including techniques like named entity recognition (NER), text classification, and semantic search
- Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
- Deep understanding of legal and compliance document structures and data privacy standards
- Experience working with Salesforce CRM and platform architecture, especially with custom objects, Apex, Lightning Components, and Visualforce
- Experience with Salesforce AppExchange apps and Salesforce DX for development lifecycle management
- Familiarity with Salesforce integrations using REST/SOAP APIs and middleware tools
- Knowledge of Salesforce data modeling, security, and automation tools (Flows, Process Builder)
- Ability to integrate AI tools and services into Salesforce-based applications like ContractHub